Senior Software Engineer (Rust) - remote in the EU

Frontdoor Defense; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Mirantis is seeking a Senior Software Engineer to design and implement production-grade control planes powering AI training and inference workloads. You will work across Rust and Go, Kubernetes operators, and DPU-aware networking in a cloud-native environment.

This remote EU role requires strong architecture, concurrency skills, and collaborative problem solving. Join a team that emphasizes OpenTelemetry observability, rigorous code reviews, and open-source collaboration while delivering

Qualifikationen

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 5+ years of software engineering experience in cloud-native platforms or systems programming.
• Primary mastery of Rust (Tokio, tonic, axum, sqlx) and proficiency in Go (secondary).
• Experience with async concurrency, lock-free patterns, and distributed state handling.
• Experience designing APIs with gRPC/Protobuf and schema evolution.
• Experience writing custom controllers/operators using kube-rs with CRD-driven patterns.
• Test-driven design and mock-based testing practices.
• Ability to write clear architectural specs and participate in design reviews.

Aufgaben

• Design, build, and maintain production-grade control plane microservices and Kubernetes operators.
• Create clean API specs and robust reconciliation engines in Rust and Go.
• Develop network integrations for SONiC, NVUE, Cumulus and DPU platforms.
• Instrument services with OpenTelemetry for end-to-end observability.
• Engage in PR reviews, ensure high test coverage, and drive quality engineering.

Kenntnisse

Rust

Go

Async concurrency

API design

Kubernetes control planes

Testing discipline

Architectural design

Ausbildung

Bachelor's or Master's in Computer Science/Engineering

Tools

Tokio

Protobuf/gRPC

kube-rs

CRD-driven reconciliation

sqlx

Jobbeschreibung

Senior Software Engineer (Rust) - remote in the EU - Remote Eligible

Own development of production-grade control planes powering AI training and inference workloads

Location: Berlin, Germany

About The Role

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Mirantis serves many of the world's leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen.

About the Team

Our engineering team builds next-generation, cloud-native bare-metal orchestration platforms for AI neo-cloud environments. We operate on a T-shaped engineering model: while each engineer brings deep expertise in a primary domain, every team member maintains practical fluency across neighboring systems. This shared foundation enables rigorous design reviews, effective cross-domain code reviews, and dependable on-call coverage. Our development is fundamentally based on open-source projects, and contributing to them is a major part of our work.

We develop primary control plane software in Rust and Go, leverage Kubernetes operators, and foster an OpenTelemetry-first operational culture.

Role Overview

We are seeking a Senior Software Engineer who combines strong software architecture principles with understanding of Datacenter Networking and DPU architectures. Fitting into our T-shaped engineering model, you will drive the development of control planes powering high-density, high-throughput infrastructure for AI training and inference workloads. Familiarity with automated bare-metal provisioning and lifecycle management is a strong asset.

Core Responsibilities

• Control Plane Development: Design, build, and maintain production-grade control plane microservices, custom Kubernetes operators, and robust reconciliation engines in Rust and Go.
• Architecture & API Design: Author clear Functional (FR) and Non-Functional Requirements (NFR), architectural specs, system sequence diagrams, and clean gRPC/Protobuf and REST API schemas.
• Network Integration: Develop custom integration modules and integrations for modern network operating systems (SONiC, NVUE, Cumulus) and DPU hardware platforms.
• Observability & Diagnostics: Instrument services end-to-end using OpenTelemetry (OTel) traces and metrics, performing systematic root-cause analysis across polyglot distributed systems.
• Quality & Engineering Excellence: Participate in rigorous, review-gated pull request workflows across Rust, Go, and SQL codebases while ensuring high test coverage via mock-driven testing.

Qualifications

Required:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 5+ years of software engineering experience in cloud-native platforms or systems programming
• Primary mastery of Rust (Tokio async runtime, Tonic, Axum, sqlx) and proficiency in Go (secondary).
• Concurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline.
• APIs & Serialization: gRPC/Protobuf contract design (via tonic/prost) and schema evolution (using zero-copy serialization and compile-time type generation).
• Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs with CRD-driven reconciliation loop patterns.
• Testing Discipline: Commitment to test-driven design, writing highly testable code with mock interfaces for external service dependencies.
• Collaborative Architecture: Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviews.

Desired:

• Advanced SQL / PostgreSQL fluency
• Datacenter Protocols & OS: Expertise in BGP, MP-BGP, EVPN, VXLAN, L3VNI, route targets, and route server design. Hands-on experience with SONiC, Cumulus Linux, and NVUE (featuring a first-class NVUE client).
• DPU & Fabric Ecosystem: Deep knowledge of NVIDIA DOCA, Host-Based Networking (HBN), BlueField DPU architectures, and the DPF (DOCA Platform Framework) operator model (BFB, DPUSet, DPUNode CRDs).
• High-Performance Interconnects: Understanding of InfiniBand fabrics, NVLink / NMX-M partitioning, and RoCEv2.
• Linux Kernel Networking: Advanced grasp of Linux netlink, network namespaces, routing tables, and internal DHCP/DNS service implementations (the project ships its own services).
• Cloud & Kubernetes Networking: Familiarity with CNI plugins (Calico, Cilium). OVS and DPDK experience is a plus.
• Provisioning & Boot Infrastructure: Expertise in PXE/iPXE, UEFI, Secure Boot, measured boot, and TPM attestation.
• Hardware Management: Proficiency in Redfish, IPMI, and BMC abstractions across heterogeneous hardware platforms (Dell, Lenovo, NVIDIA reference hardware).
• Linux Systems Internals: In-depth knowledge of boot chains, systemd, initramfs, BIOS configuration matrices.
• Identity & Security: Practical experience with PKI, X.509 certificates, TLS, SPIFFE/SVID, Vault, KMS, Keycloak (OAuth2/JWT), and RBAC.
• Virtualization: Experience with KubeVirt / KVM.
• Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs or controller-runtime with CRD-driven reconciliation loop patterns.
• Demonstrated participation or maintaining open-source systems projects

Additional Information

It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [e-mail] By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.

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